Triple

T4418021
Position Surface form Disambiguated ID Type / Status
Subject Mc E95023 entity
Predicate hasExampleSurname P55541 FINISHED
Object McKenzie
McKenzie is a Scottish-origin surname commonly borne by people of Scottish and Irish heritage and widely used in English-speaking countries.
 E437052 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: McKenzie | Statement: [Mc, hasExampleSurname, McKenzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: McKenzie
Context triple: [Mc, hasExampleSurname, McKenzie]
  • A. McKenna
    McKenna is a surname of Irish origin commonly borne by individuals of Gaelic heritage.
  • B. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • C. Kenley
    Kenley is a suburban district in South London known for its residential character and proximity to green spaces such as Kenley Common and the historic Kenley Aerodrome.
  • D. Mason
    Mason is the given first name of Red Cashion, the famed American NFL referee known for his exuberant "First down!" calls.
  • E. Mason
    Mason is a common English surname of occupational origin, historically referring to a stoneworker or builder.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: McKenzie
Triple: [Mc, hasExampleSurname, McKenzie]
Generated description
McKenzie is a Scottish-origin surname commonly borne by people of Scottish and Irish heritage and widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: McKenzie
Target entity description: McKenzie is a Scottish-origin surname commonly borne by people of Scottish and Irish heritage and widely used in English-speaking countries.
  • A. McKenna
    McKenna is a surname of Irish origin commonly borne by individuals of Gaelic heritage.
  • B. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • C. Kenley
    Kenley is a suburban district in South London known for its residential character and proximity to green spaces such as Kenley Common and the historic Kenley Aerodrome.
  • D. Mason
    Mason is the given first name of Red Cashion, the famed American NFL referee known for his exuberant "First down!" calls.
  • E. Mason
    Mason is a common English surname of occupational origin, historically referring to a stoneworker or builder.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61fa6d88190b98810b542835817 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f68a994c8190a5b524a4db16b097 completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f6ece3b08190b880743e9fe4dbad completed March 15, 2026, 12:01 a.m.
Created at: March 12, 2026, 11:29 p.m.